Secure External Kafka Data Sharing for Financial Services

Share Kafka data across partners, regulators, and clouds without losing control. Masking, encryption, and auditability at every boundary, enabling compliant, trackable data exchange.

Secure External Kafka Data Sharing for Financial Services

Trusted by data teams at

Lufthansa
Honda
Caisse des Dépôts
IKEA
ING
Consolidated Communications
Vattenfall
Air France
Cigna
Flix
Capital Group
Dick's Sporting Goods
Lufthansa
Honda
Caisse des Dépôts
IKEA
ING
Consolidated Communications
Vattenfall
Air France
Cigna
Flix
Capital Group
Dick's Sporting Goods

Firewall rules, certificates, and network reviews delay every new partner. Months pass before first data exchange.

Multiple identity models (OIDC, tokens, BasicAuth) across partner ecosystems. No single control point for schema validation, ACLs, and encryption.

No immutable audit evidence linking Kafka topics to regulator or SaaS endpoints. No FinOps visibility for chargeback.

Each external connection requires:

  • Security review: 2-4 weeks
  • Network configuration: 1-2 weeks
  • Certificate management: 1 week
  • Testing: 1-2 weeks
  • Months before value delivery

Data leaves your perimeter through:

  • Ad-hoc connectors
  • Custom scripts
  • File-based exports
  • No centralized governance or lineage

When regulators ask "who accessed what":

  • Evidence gathering takes weeks
  • Lineage reconstructed manually
  • No cost attribution per partner
  • Audit becomes a project

Unified Sharing Gateway

Single control point for all external data flows. mTLS, ACLs, and schema validation enforced at the boundary

Field-Level Masking

Mask sensitive fields before exposure. Share transaction data while protecting PII

BYOK Encryption

Integrate with Voltage, Fortanix, or KMS. Your keys, your control, your compliance

Flexible Authentication

OIDC, API keys, or tokens. Onboard partners without rebuilding your identity model

Immutable Audit Logs

Every shared event logged with lineage. Evidence ready for PCI DSS, GLBA, and DORA

FinOps Chargeback

Track consumption per partner or business unit. Cost transparency for data monetization

Zero-Trust Architecture

Partners access only authorized topics. Topology and naming hidden. No cluster exposure

Dynamic Masking

Apply masking rules based on consumer identity. Same topic, different views

Live Data Sharing

Share Kafka data in real-time. No replication, no file exports, no data copies

Lineage Tracking

Trace every event from source topic to external consumer. Complete audit trail

Throttling Controls

Rate-limit external consumers. Protect cluster performance during partner surges

Fast Onboarding

Partners connect in days, not months. Standard protocols, automated provisioning

How Data Sharing Works

From internal cluster to external partner, governed end-to-end.

1
Define Sharing Policies

Set which topics, fields, and events can be shared. Masking and encryption rules apply automatically

2
Configure Partner Access

Onboard partners with OIDC, tokens, or API keys. Access scoped to specific topics and fields

3
Enable Live Streaming

Partners consume Kafka data in real-time through the gateway. No replication or exports

4
Monitor & Audit

Track every access, generate compliance evidence, allocate costs per partner

Regulatory Reporting

Deliver near-real-time reports to financial authorities with end-to-end lineage and immutable audit evidence

Partner Connectivity

Share Kafka topics externally via OIDC or token authentication with schema validation and BYOK encryption

Credit and Risk Exchange

Provide loan, payment, and scoring events to credit bureaus with field-level encryption and masking

Vendor and SaaS Integrations

Expose selected event streams to external providers under zero-trust controls

B2B and Payment APIs

Offer real-time data access to partner banks or payment networks with schema enforcement

Data Marketplace

Power monetized or cross-BU data exchanges with FinOps chargeback and consumption tracking

Read more customer stories

Frequently Asked Questions

Can I share data without replicating it?

Yes. Conduktor acts as a gateway. Partners consume directly from your Kafka cluster through controlled, masked, and audited channels. No data copies.

How do partners authenticate?

Conduktor supports OIDC, API keys, tokens, and mTLS. Use your existing identity provider or issue dedicated credentials per partner.

What masking options are available?

Field-level masking with multiple strategies: redaction, hashing, tokenization, or partial masking. Rules apply based on consumer identity.

How does this meet DORA requirements?

Immutable audit logs, complete lineage from source to consumer, and evidence of encryption coverage. Audit reports generated automatically.

Can I charge partners for data consumption?

Yes. FinOps dashboards track consumption per partner, topic, and time period. Export for billing or internal chargeback.

Ready to share Kafka data securely?

See how Conduktor enables compliant data exchange with partners and regulators. Our team can help you design a sharing strategy that meets your security requirements.

Book a demo